fdeng1983 Goto Github PK
Type: User
Type: User
Abstention Library: Methods for Computing Abstention Scores
Official Implementation of "Visual Speech Enhancement", Interspeech 2018.
A curated list of famous CV/NLP/ML/AI best papers, inspired by Best Paper Awards in Computer Science (since 1996).
Denoise Speech (Enhanced Speech or Speech enhancement) by Deep Learning (Using Keras and Tensorflow)
Generic implementation for clustering with deep learning : representation learning (DNN) + clustering
Convolutional neural nets for single channel speech enhancement
Fine-tune CNN in Keras
Collaborative Denoising Auto-Encoder for Top-N Recommender Systems (CDAE)
Compare GAN code.
In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions. The proposed postprocessor improves speech quality (PESQ) by up to 0.25 MOS-LQO points for G.711, 0.30 points for G.726, 0.82 points for G.722, and 0.26 points for adaptive multirate wideband codec (AMR-WB). In a subjective CCR listening test, the proposed postprocessor on G.711-coded speech exceeds the speech quality of an ITU-T-standardized postfilter by 0.36 CMOS points, and obtains a clear preference of 1.77 CMOS points compared to G.711, even en par with uncoded speech.
Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs (ECCV 2018)
deep clustering method for single-channel speech separation
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
Deep Xi: A Deep Learning Approach to A Priori SNR Estimation. Used for Speech Enhancement and robust ASR.
Code for the paper Music Source Separation in the Waveform Domain
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
TensorFlow implementation of real-time style transfer using feed-forward generation. This builds on the original style-transfer algorithm and allows for common personal computers to transform images.
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
A PyTorch implementation of the FFTNet: a Real-Time Speaker-Dependent Neural Vocoder
G2P with Tensorflow
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Deep Learning for humans
Keras implementations of Generative Adversarial Networks.
Keras Temporal Convolutional Network.
Multi-speaker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.
Magenta: Music and Art Generation with Machine Intelligence
Multi-channel speech enhancement system (MVDR beamformer + several postfilters)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.